Instructions to use NikosKprl/en_deberta_v3_base_ner_method with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use NikosKprl/en_deberta_v3_base_ner_method with spaCy:
!pip install https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_method/resolve/main/en_deberta_v3_base_ner_method-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_deberta_v3_base_ner_method") # Importing as module. import en_deberta_v3_base_ner_method nlp = en_deberta_v3_base_ner_method.load() - Notebooks
- Google Colab
- Kaggle
Download transformer/model from NikosKprl/en_deberta_v3_base_ner_method: direct link, hf CLI and curl.
- Browser
- Download file 746 MB
-
https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_method/resolve/main/transformer/model
- Command line
-
hf download hf://NikosKprl/en_deberta_v3_base_ner_method/transformer/model
-
curl -L -o model https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_method/resolve/main/transformer/model
746 MB
- Xet hash:
- e295f5255ea5044acd5a0e47ddac40a1b710b74d12d33d7d04d2703b1302a42b
- Size of remote file:
- 746 MB
- SHA256:
- 73613451e44c929d08d9fe731c9713fc2055a97c13adf551c8feb1912034e685
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